Predicting Option Prices and Volatility with High Frequency Data Using Neural Network

Huang Weige, Wang Hua
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Abstract

Neural network utilizes the huge amount of data for analysis and prediction. This paper predicts option prices and volatility using neutral network based on high frequency intraday data.We focus on short term prediction because option prices and volatility in fact are very volatile and almost impossible to predict. We find that neural network is able to predict option prices and volatility by using predictors constructed from the prices of option and its underlining index, especially in short term which is what practitioners care about more in practice.
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利用神经网络高频数据预测期权价格和波动率
神经网络利用大量的数据进行分析和预测。本文采用基于高频日内数据的中性网络预测期权价格和波动率。我们关注短期预测,因为期权价格和波动率实际上非常不稳定,几乎不可能预测。我们发现,神经网络能够利用由期权价格及其下划线指数构成的预测因子来预测期权价格和波动率,特别是在实践中从业者更关心的短期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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